Keynote Speakers

Keynote Speaker I

Prof. Hiroyoshi Miwa

Kwansei Gakuin University, Japan

Title: Delay Tolerant Networking Technology and Disaster Management - Theoretical and Practical Aspects of DTN Technology


Immediately after a large-scale disaster such as the Great East Japan Earthquake in 2011 struck, both wired and wireless communications do not work at all in the affected area. However, in such an environment, keeping communications and sharing information are absolutely imperative. Delay/Disruption/Disconnect Tolerant Networking (DTN) is the technology that establishes communications in an environment characterized by lack of continuous connectivity, high loss rates, and long propagation delays. A routing scheme, store-carry-forward, in which a mobile node first stores a message, carries it while moving, and then forwards it to either an intermediate node or the destination node, is essential for DTN. The store-carry-forward routing scheme makes use of opportunistic communication based on human serendipitous encounters which human mobility patterns causes. Recently, interesting knowledge about human mobility patterns and serendipitous encounters was found. A human mobility model which is consistent with the found properties was proposed. We can design an efficient algorithm for the store-carry-forward routing scheme by considering the mathematical mobility model. This is an example that theoretical knowledge and results can solve a practical problem. The optimization theory and the probability theory are useful also in the disaster management. In this talk, we introduce our theoretical and practical knowledge for the DTN technology.


Hiroyoshi Miwa received his BS in Mathematics from the University of Tokyo in 1992 and a Dr. of Informatics degree from Kyoto University in 2000. Since joining NTT Laboratories in 1992, he has researched information network design and control issues. In 2002, he joined Kwansei Gakuin University, where he is currently a Professor in the Department of Informatics and has been the assistant to the President of the university since 2014. The research field is the applied mathematics and physics, including optimization theory, algorithm theory, computational complexity theory, graph theory, and discrete mathematics. He received many awards such as the Best Paper Award of the IEEE Computer Society Signature Conference on Computers, Software and Applications (COMPSAC 2014), the Best Paper Award of the International Conference on Intelligent Networking and Collaborative Systems (INCoS2018).

Keynote Speaker II

Prof. Leonard Barolli

Fukuoka Institute of Technology, Japan

Title: IoT Device Selection in Opportunistic Networks: Implementation and Performance Evaluation of Fuzzy-based Intelligent Systems and a Testbed


In Opportunistic Networks (OppNets) the contacts of Internet of Things (IoT) devices (nodes) are intermittent and links are highly variable. Upon receiving a message a device will store it in the buffer until another node comes in the transmission range and a forwarding opportunity exists. The IoT network consists of connected physical objects and devices with high mobility. By using the mobility of IoT devices, the OppNets provide a self-organizing network as a communication opportunity. The IoT devices generate and exchange a huge amount of data through heterogeneous networks and OppNets ease the concept of heterogeneity with their independence on decentralized infrastructure. The IoT network consists of different devices with different resource capabilities. When multiple IoT devices are deployed densely, there is a possibility that a node may reside in the coverage area of multiple devices. Thus, when a task requires an IoT device to complete it, it is very important to find the best device for that specific request. The IoT devices should be selected based on different parameters in order to achieve better network connectivity, stability and user coverage. In OppNets an end-to-end path between source and destination may not exist and network partitions occur. Some of the most common issues for OppNets are energy consumption, storage constraint, contact opportunity and finding an optimal and robust topology of the network devices to support connectivity services to events. To deal with these issues many parameters should be considered which make the problem NP-Hard. Thus, the heuristic and intelligent algorithms are good solutions. We consider IoT device selection in OppNets and propose new parameters and implement different intelligent systems based on Fuzzy Logic (FL). The proposed systems can be used in different environments and applications.


Leonard Barolli received B.S. from Tirana University, Albania in 1989 and Ph.D. degree from Yamagata University, Japan in 1997. From April 1997 until March 1999, he was working as a Post Doctor Fellow Researcher of Japan Society for the Promotion of Science (JSPS) at Department of Electrical and Information Engineering, Yamagata University. From April 1999 to March 2002, he was working as a Research Associate at Department of Public Policy and Social Studies, Yamagata University. From April 2002 to March 2003, he was an Assistant Professor at Department of Computer Science, Faculty of Engineering, Saitama Institute of Technology (SIT). From April 2003 to March 2005, he was an Associate Professor and presently is a Full Professor at Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology (FIT). Prof. Barolli was an Editor of Information Processing Society of Japan (IPSJ) Journal and has served also in the Editorial Board for some Special Issues of IPSJ Journal. Prof. Barolli is serving in the Editorial Board and Guest Editor of many International Journals. He is engaged as a Program Committee (PC) Member, PC Chair, General Chair for many International Conferences. Prof. Barolli is Steering Committee Co-Chair of AINA, CISIS, IMIS, NBiS, INCoS, BWCCA, 3PGCIC, EIDWT International Conferences. He also is organizer of many International Workshops. He serves as a reviewer for many International Conferences and Journals. Prof. Barolli has published more than 1,000 papers in International Journals and International Conference Preceedings. His research interests include high-speed and bradband networks, mobile communication systems, mobile ad-hoc networking, wireless sensor networks, P2P systems, VANETs, wireless sensor and actor networks, opportunistic networks, wireless mesh networks, Software Definied Networks, clould computing, Web applications, Quality of Service (QoS), traffic control mechanisms (policing, routing, congestion control, Connection Admission Control (CAC)), intelligent algorithms (fuzzy theory, genetic algorithms, neural networks, tabu search, simulated annealing, hill climbing, particle swarm optimization), hybrid intelligent systems, network protocols, agent-based systems, grid and Internet computing. Dr. Barolli is a Fellow of IPSJ, Senior Member of IEEE and a member of Japan Society for Fuzzy Theory and Systems (SOFT),.